Winning picks from SDQL masters. 		S p o r t s D a t a b a s e . c o m
agile access to sports data


name
password

MLB Trends SDB Home    MLB Trends    MLB Query
Include trends from SDB's sample ml against SDB's sample ml on SDB's sample ou against SDB's sample ou on guest's web all active on filter on
Trends from SDB's sample ml against,SDB's sample ml on,SDB's sample ml against,SDB's sample ml on
$ ROI Margin wins losses % link
6493 5.4 -0.6 373 516 42.0 The Reds are 373-516-1 AGAINST since Jul 10, 2014.
856 27.3 -1.0 11 17 39.3 The Reds are 11-17 AGAINST since Aug 11, 2019 at home.
732 36.0 -2.4 4 12 25.0 The Reds are 4-12 AGAINST since Jul 06, 2019 as a home dog.
565 15.0 -0.6 9 18 33.3 The Reds are 9-18 AGAINST since Jun 22, 2019 as a road dog.
514 28.6 -0.7 8 10 44.4 The Reds are 8-10 AGAINST since Aug 11, 2019 as a home favorite.
527 32.3 0.6 9 4 69.2 The Reds are 9-4 ON since Sep 12, 2019 on the road.
Trend Parameters: active, english, invested, losses, margin, profit, pushes, sdql, start, team, wins

How To Use the Trends Page:
Use the Pythonic Query Language to explore a database of trends. The full PyQL format is: parameters @ conditions. More typical use just specifies the condition and takes a default output.

To see all trends with an average margin of at least 2 use the PyQL condition: margin > 2.

To see all perfect trends use the PyQL: wins * losses = 0
e-mail links:   Content@SportsDataBase.com    Support@SportsDataBase.com   
Content for this site is generated using the Sports Data Query Language (SDQL).